Some new orthogonal designs in linear regression models

Koukouvinos, C

dc.contributor.author	Koukouvinos, C	en
dc.date.accessioned	2014-03-01T01:12:17Z
dc.date.available	2014-03-01T01:12:17Z
dc.date.issued	1996	en
dc.identifier.issn	0167-7152	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/12049
dc.subject	Autocorrelation	en
dc.subject	Construction	en
dc.subject	Factorial experiments	en
dc.subject	Linear model	en
dc.subject.classification	Statistics & Probability	en
dc.title	Some new orthogonal designs in linear regression models	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/0167-7152(95)00165-4	en
heal.identifier.secondary	http://dx.doi.org/10.1016/0167-7152(95)00165-4	en
heal.language	English	en
heal.publicationDate	1996	en
heal.abstract	In two or three level factorial experiments and in other linear regression models the coefficients of the unknown parameters can take one out of two or three values. Orthogonal designs are obtained from Hadamard matrices or weighing matrices. In this paper we construct some new orthogonal designs using sequences with zero autocorrelation function.	en
heal.publisher	ELSEVIER SCIENCE BV	en
heal.journalName	Statistics and Probability Letters	en
dc.identifier.doi	10.1016/0167-7152(95)00165-4	en
dc.identifier.isi	ISI:A1996VB38900005	en
dc.identifier.volume	29	en
dc.identifier.issue	2	en
dc.identifier.spage	125	en
dc.identifier.epage	129	en